A COLLISION AVOIDANCE METHOD BASED ON DEEP REINFORCEMENT LEARNING

A Collision Avoidance Method Based on Deep Reinforcement Learning

This paper set out to investigate the usefulness of solving collision avoidance problems with the help of deep reinforcement learning in Hair Clips an unknown environment, especially in compact spaces, such as a narrow corridor.This research aims to determine whether a deep reinforcement learning-based collision avoidance method is superior to the

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Early-life experience reorganizes neuromodulatory regulation of stage-specific behavioral responses and individuality dimensions during development

Early-life experiences may promote stereotyped behavioral alterations that are dynamic across development time, but also behavioral responses that are variable among individuals, even when initially exposed to the same stimulus.Here, by utilizing longitudinal monitoring of Caenorhabditis elegans individuals throughout development we show that behav

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